Feature Selection
Feature selection approaches try to find a subset of the original variables (also called features or attributes). Two strategies are filter (e.g. information gain) and wrapper (e.g. search guided by the accuracy) approaches. See also combinatorial optimization problems.
In some cases, data analysis such as regression or classification can be done in the reduced space more accurately than in the original space.
Read more about this topic: Dimension Reduction
Famous quotes containing the words feature and/or selection:
“With men he can be rational and unaffected, but when he has ladies to please, every feature works.”
—Jane Austen (1775–1817)
“Every writer is necessarily a critic—that is, each sentence is a skeleton accompanied by enormous activity of rejection; and each selection is governed by general principles concerning truth, force, beauty, and so on.... The critic that is in every fabulist is like the iceberg—nine-tenths of him is under water.”
—Thornton Wilder (1897–1975)